URU International Conference on Science and Technology 2018

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Authors: Nichapat Thongsit, Yosita Sangnok, Wannee Wannapak, Kan Khoomsab, Surachest Iamsamang, Sirada Sangnok, Jetsadaporn Pakamwang, Artit Hutem
Abstract: In this paper, we develop a mathematical and physics model or formula of displacement-time dependent, velocity-time dependent, acceleration-time dependent, kinetic energy-time dependent and mechanical power-time dependent for Usain Bolt in the 100 m sprint at Beijing olympic games 2008. We use data of distance, velocity, time for Usain Bolt from Mackata Krzysztof and Antti Mero analysis kinematic parameter of Usain Bolt to compare the mathematical and physics model. The mathematical and physics model corresponding velocity, and acceleration as shown in the book entitled Introduction to sport biomechanics of Roger Bartlett(pp.83-92).
Authors: Metaporn Apiratigosol, Katang Jeeradit, Pattadon Keawpeai, Supaporn Hutem, Artit Hutem, Sanit Suwanwong, Piyarut Moonsri
Abstract: In this work, we consider is the single-particle bound-state problem. A single-particle moves in the absence of the anharmonics oscillator asymmetric potential. The bound-state problem then is to solve the partition function for single-particle in the presence of anharmonics oscillator asymmetric potential. The factor second exponential function of partition function of particle bound in the anharmonics oscillator asymmetric potential can also be expanded in power series of the temperature and parameter , , and is the position of single-particle bound-state problem and using the integrate Gaussian. The purpose of this works, we will compute the partition function as a function of temperature, entropy, specific heat capacity and standard deviation which depend on the parameter and frequency.
Authors: Ekaroek Phumnok, Jakkrit Boonphang, Orrachorn Bourkaew
Abstract: In this research, effects of filler types and their loading on properties of the natural rubber closed cell foam were investigated. The azodicarbonamide was used as a blowing agent in 4 phr loading. The filler types that are the N-330 grade of carbon black, precipitated calcium carbonate and rubber grade china clay, their loading was varied from 0 to 50 phr (part per hundred dried rubber). The physical properties of the rubber foam that are the difference torque from the oscillating disk rheometer, hardness, tear strength, 300% modulus, tensile strength, elongation at break and compression set were analyzed. The results were found that the carbon black was yielded the highest of all properties in every loading. In conclusion, the suitable filler for closed cell rubber foam is the carbon black.
Authors: Kesinee Boonchuay
Abstract: Sentiment classification gains a lot of attention nowadays. For a university, the knowledge obtained from classifying sentiments of student learning in courses is highly valuable, and can be used to help teachers improve their teaching skills. In this research, sentiment classification based on text embedding is applied to enhance the performance of sentiment classification for Thai teaching evaluation. Text embedding techniques considers both syntactic and semantic elements of sentences that can be used to improve the performance of the classification. This research uses two approaches to apply text embedding for classification. The first approach uses fastText classification. According to the results, fastText provides the best overall performance; its highest F-measure was at 0.8212. The second approach constructs text vectors for classification using traditional classifiers. This approach provides better performance over TF-IDF for k-nearest neighbors and naïve Bayes. For naïve Bayes, the second approach yields the best performance of geometric mean at 0.8961. The performance of TF-IDF is better suited to using decision tree than the second approach. The benefit of this research is that it presents the workflow of using text embedding for Thai teaching evaluation to improve the performance of sentiment classification. By using embedding techniques, similarity and analogy tasks of texts are established along with the classification.
Authors: Yanapat Chuchuen, Kritwara Rattanaopas, Sarapee Chunkaew
Abstract: Docker engine is an extremely powerful tool for PaaS platform of cloud computing. It gives benefits for large-scale of internet services. Web service is basic service for everyone who requires to access internet that web infrastructure must has scalability with load-balance web server called reverse proxy. The key answers for a large-scale web must have multiple web servers working together with high speed bandwidth. Moreover, multiple clusters can find in the same data center there are required to assign priority and quality of each cluster service. We investigate load-balance assign link aggregation with network QoS by using pipework script and traffic control tool in frontend reverse proxy server on each cluster. Our research evaluates scenario of network QoS ratios which include 50/50, 60/40, 70/30 and 80/20. We compare network bandwidth between both web reverse proxy clusters. The results present our designed and implementation tool not only can control network QoS on each web reverse proxy cluster in all load-balance link aggregation modes which include round-robin, XOR and ALB but also those of clusters can access multiple network interface. In experiment, average network bandwidths in all QoS cases are around 200 MB per second for link aggregation of 2 gigabit interface.
Authors: Chanida Ruangsiriwattanakul
Abstract: This research aimed to develop the prototype equipment for an information system of environmental monitoring and production factors in an agroforestry area with concepts of wireless sensor network technology controlled by microcontroller. There were 2 parts: 1) the sensor node functions various environmental monitoring such as temperature, humidity, smoke in an agroforestry area of agriculturists, and 2) the gateway station functions data collection from the sensor node via the Internet network stored in the cloud database system. Results from the wireless sensor network is the data of the inputs in the agroforestry area, such as temperature, humidity and CO2 which displays data on the information system that agriculturists can use information to monitoring the environment for agriculture and support an agriculture system management. Improve production processes to increase productivity and predict future output

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